Cardiorespiratory system monitoring using a developed acoustic sensor

Reza Abbasi-Kesbi; Atefeh Valipour; Khadije Imani

Cardiorespiratory system monitoring using a developed acoustic sensor

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Author(s): Reza Abbasi-Kesbi¹ ; Atefeh Valipour² ; Khadije Imani³
- Affiliations: 1: MEMS & NEMS Department, Faculty of New Sciences and Technologies , University of Tehran , Tehran , Iran ;
  2: Faculty of Electrical, Computer & IT Engineering , Qazvin Islamic Azad University , Qazvin , Iran ;
  3: Department of Physics, College of Sciences, Karaj Branch , Islamic Azad University , Alborz , Iran
Source: Volume 5, Issue 1, February 2018, p. 7 – 12
DOI: 10.1049/htl.2017.0012 , Online ISSN 2053-3713

This is an open access article published by the IET under the Creative Commons Attribution-NonCommercial-NoDerivs License (http://creativecommons.org/licenses/by-nc-nd/3.0/)

Received 25/01/2017, Accepted 04/07/2017, Revised 30/06/2017, Published 12/01/2018

This Letter proposes a wireless acoustic sensor for monitoring heartbeat and respiration rate based on phonocardiogram (PCG). The developed sensor comprises a processor, a transceiver which operates at industrial, scientific and medical band and the frequency of 2.54 GHz as well as two capacitor microphones which one for recording the heartbeat and another one for respiration rate. To evaluate the precision of the presented sensor in estimating heartbeat and respiration rate, the sensor is tested on the different volunteers and the obtained results are compared with a gold standard as a reference. The results reveal that root-mean-square error are determined <2.27 beats/min and 0.92 breaths/min for the heartbeat and respiration rate in turn. While the standard deviation of the error is obtained <1.26 and 0.63 for heartbeat and respiration rate, respectively. Also, the sensor estimate sounds of $S 1$ to $S 4$ obtained PCG signal with sensitivity and specificity 98.1% and 98.3% in turn that make 3% improvement than previous works. The results prove that the sensor can be appropriate candidate for recognising abnormal condition in the cardiorespiratory system.

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Cardiorespiratory system monitoring using a developed acoustic sensor

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